We Keep Coding

Odd placeholder or pre-statement on string declaration [duplicate]

Like in:
u'Hello'
My guess is that it indicates "Unicode", is that correct?
If so, since when has it been available?

You're right, see 3.1.3. Unicode Strings.
It's been the syntax since Python 2.0.
Python 3 made them redundant, as the default string type is Unicode. Versions 3.0 through 3.2 removed them, but they were re-added in 3.3+ for compatibility with Python 2 to aide the 2 to 3 transition.

The u in u'Some String' means that your string is a Unicode string.
Q: I'm in a terrible, awful hurry and I landed here from Google Search. I'm trying to write this data to a file, I'm getting an error, and I need the dead simplest, probably flawed, solution this second.
A: You should really read Joel's Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) essay on character sets.
Q: sry no time code pls
A: Fine. try str('Some String') or 'Some String'.encode('ascii', 'ignore'). But you should really read some of the answers and discussion on Converting a Unicode string and this excellent, excellent, primer on character encoding.

My guess is that it indicates "Unicode", is it correct?
Yes.
If so, since when is it available?
Python 2.x.
In Python 3.x the strings use Unicode by default and there's no need for the u prefix. Note: in Python 3.0-3.2, the u is a syntax error. In Python 3.3+ it's legal again to make it easier to write 2/3 compatible apps.

I came here because I had funny-char-syndrome on my requests output. I thought response.text would give me a properly decoded string, but in the output I found funny double-chars where German umlauts should have been.
Turns out response.encoding was empty somehow and so response did not know how to properly decode the content and just treated it as ASCII (I guess).
My solution was to get the raw bytes with 'response.content' and manually apply decode('utf_8') to it. The result was schöne Umlaute.
The correctly decoded
für
vs. the improperly decoded
fĂźr

All strings meant for humans should use u"".
I found that the following mindset helps a lot when dealing with Python strings: All Python manifest strings should use the u"" syntax. The "" syntax is for byte arrays, only.
Before the bashing begins, let me explain. Most Python programs start out with using "" for strings. But then they need to support documentation off the Internet, so they start using "".decode and all of a sudden they are getting exceptions everywhere about decoding this and that - all because of the use of "" for strings. In this case, Unicode does act like a virus and will wreak havoc.
But, if you follow my rule, you won't have this infection (because you will already be infected).

SQL Alchemy : what is the 'u' in the selection query [duplicate]

Like in:
u'Hello'
My guess is that it indicates "Unicode", is that correct?
If so, since when has it been available?

You're right, see 3.1.3. Unicode Strings.
It's been the syntax since Python 2.0.
Python 3 made them redundant, as the default string type is Unicode. Versions 3.0 through 3.2 removed them, but they were re-added in 3.3+ for compatibility with Python 2 to aide the 2 to 3 transition.

The u in u'Some String' means that your string is a Unicode string.
Q: I'm in a terrible, awful hurry and I landed here from Google Search. I'm trying to write this data to a file, I'm getting an error, and I need the dead simplest, probably flawed, solution this second.
A: You should really read Joel's Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) essay on character sets.
Q: sry no time code pls
A: Fine. try str('Some String') or 'Some String'.encode('ascii', 'ignore'). But you should really read some of the answers and discussion on Converting a Unicode string and this excellent, excellent, primer on character encoding.

My guess is that it indicates "Unicode", is it correct?
Yes.
If so, since when is it available?
Python 2.x.
In Python 3.x the strings use Unicode by default and there's no need for the u prefix. Note: in Python 3.0-3.2, the u is a syntax error. In Python 3.3+ it's legal again to make it easier to write 2/3 compatible apps.

I came here because I had funny-char-syndrome on my requests output. I thought response.text would give me a properly decoded string, but in the output I found funny double-chars where German umlauts should have been.
Turns out response.encoding was empty somehow and so response did not know how to properly decode the content and just treated it as ASCII (I guess).
My solution was to get the raw bytes with 'response.content' and manually apply decode('utf_8') to it. The result was schöne Umlaute.
The correctly decoded
für
vs. the improperly decoded
fĂźr

All strings meant for humans should use u"".
I found that the following mindset helps a lot when dealing with Python strings: All Python manifest strings should use the u"" syntax. The "" syntax is for byte arrays, only.
Before the bashing begins, let me explain. Most Python programs start out with using "" for strings. But then they need to support documentation off the Internet, so they start using "".decode and all of a sudden they are getting exceptions everywhere about decoding this and that - all because of the use of "" for strings. In this case, Unicode does act like a virus and will wreak havoc.
But, if you follow my rule, you won't have this infection (because you will already be infected).

Can't regex string between string and line break - str(x) versus x.decode()

Why does a regex fail of a string cast from an object when line breaks are present?
That is why does this fail to find a match (ie print 'Green') in a string created from str(obj):
import re
s = str(b'Package Name: Green\\r\\n Release version: 8.1\\r\\n')
match = re.search(r'Package Name: (.*)\r\n', s)
print(match.group(1))
When this succeeds using a string created from obj.decode()?
import re
s = (b'Package Name: Green\\r\\n Release version: 8.1\\r\\n').decode()
match = re.search(r'Package Name: (.*)\r\n', s)
print(match.group(1))
No matter what search pattern was tried, searching the string created by str(obj) failed to find a match...

The reason you get different results is that you’re doing different things. Calling str on a bytes with newline characters returns a string with a literal backslash and n; calling decode returns a string with a newline character in it. So, if you’re searching the results for newline characters, the second one will succeed, and the first will fail. And it’s the second one that you wanted.
In other words, using decode here is right, and str is wrong; that’s why you get different results. If you can’t think through the difference, try just printing them out: print(b.decode()); print(str(b)) and you’ll see the difference immediately.
In fact, you should usually be decoding the strings as soon as you receive them, and never looking at the bytes again. Then you never have to worry about the str representation of bytes objects (except maybe in some code that logs errors caused by invalid strings that you couldn’t decode). The only exception is when you know the bytes are some kind of encoded text, but can’t be sure what the encoding is. For example, if you’re parsing HTTP headers or email messages or Python source code, you don’t know the character set until you read part of the file and search it for special ASCII-encoded strings. Or, if you’re converting a bunch of old text files from Windows to Unix line endings and some are cp1252 while others are cp1250, you don’t care which is which because they both encode line endings the same way. For those cases, just stick with bytes, and search for b'\n' instead of '\n'.
If you want to know why Python makes this so complicated:
bytes objects are used to store strings encoded in your default encoding—but they’re also used to store strings encoded in different encodings, and binary data that isn’t a string at all. And a bytes object has no idea which of those it’s storing; they’re all just sequences of numbers.
Python 2 effectively assumed that a bytes was being used to store a string in your default encoding, so it let you convert back and forth to Unicode by calling functions like str, or even concatenating a bytes and Unicode string. That turned out to be one of the biggest sources of errors in the language. You still see Python 2 users posting questions here every few days asking why they got a UnicodeEncodeError when they weren’t calling encode anywhere (or, worse, when they were calling decode), and fixing that was one of the main reasons for Python 3’s existence.
The human-readable representation of a bytes object has to be something that can be produced without error, and read unambiguously, whether it’s a string in the default encoding, a string in a completely different encoding, or a sequence of pixel brightness values ranging from 0 to 255. The compromise solution (for things like that HTTP headers case above) is the backslash-escaped quoted string.
By the way, during the Python 2 to 3 transition, the core devs assumed multiple people would come up with clever EncodedBytes types that carried around their encoding, and could therefore act more like Python 2 byte strings but without all the associated errors, and after a couple years one of them would be the clear winner on PyPI and maybe they could add it to Python 3.3 or so. That’s what you’re probably instinctively reaching for here. But, as it turned out, nobody used any such libraries, because it’s almost always easier to just decode and encode at the edges of your program and use Unicode everywhere, and the exceptions are almost always cases where you don’t know the encoding so EncodedBytes wouldn’t help.
One last thing: thinking of functions like str or float as “casts” is misleading. While it looks superficially similar to the way you do explicit casts in C or Java or Go or whatever language you’re used to, it has a very different meaning

What is actually happening when I encode a string into bytes? [duplicate]

What's a Python bytestring?
All I can find are topics on how to encode to bytestring or decode to ASCII or UTF-8. I'm trying to understand how it works under the hood. In a normal ASCII string, it's an array or list of characters, and each character represents an ASCII value from 0-255, so that's how you know what character is represented by the number. In Unicode, it's the 8- or 16-byte representation for the character that tells you what character it is.
So what is a bytestring? How does Python know which characters to represent as what? How does it work under the hood? Since you can print or even return these strings and it shows you the string representation, I don't quite get it...
Ok, so my point is definitely getting missed here. I've been told that it's an immutable sequence of bytes without any particular interpretation.
A sequence of bytes.. Okay, let's say one byte:
'a'.encode() returns b'a'.
Simple enough. Why can I read the a?
Say I get the ASCII value for a, by doing this:
printf "%d" "'a"
It returns 97. Okay, good, the integer value for the ASCII character a. If we interpret 97 as ASCII, say in a C char, then we get the letter a. Fair enough. If we convert the byte representation to bits, we get this:
01100001
2^0 + 2^5 + 2^6 = 97. Cool.
So why is 'a'.encode() returning b'a' instead of 01100001??
If it's without a particular interpretation, shouldn't it be returning something like b'01100001'?
It seems like it's interpreting it like ASCII.
Someone mentioned that it's calling __repr__ on the bytestring, so it's displayed in human-readable form. However, even if I do something like:
with open('testbytestring.txt', 'wb') as f:
f.write(b'helloworld')
It will still insert helloworld as a regular string into the file, not as a sequence of bytes... So is a bytestring in ASCII?

It is a common misconception that text is ASCII or UTF-8 or Windows-1252, and therefore bytes are text.
Text is only text, in the way that images are only images. The matter of storing text or images to disk is a matter of encoding that data into a sequence of bytes. There are many ways to encode images into bytes: JPEG, PNG, SVG, and likewise many ways to encode text, ASCII, UTF-8 or Windows-1252.
Once encoding has happened, bytes are just bytes. Bytes are not images anymore; they have forgotten the colors they mean; although an image format decoder can recover that information. Bytes have similarly forgotten the letters they used to be. In fact, bytes don't remember whether they were images or text at all. Only out of band knowledge (filename, media headers, etcetera) can guess what those bytes should mean, and even that can be wrong (in case of data corruption).
so, in Python (Python 3), we have two types for things that might otherwise look similar; For text, we have str, which knows it's text; it knows which letters it's supposed to mean. It doesn't know which bytes that might be, since letters are not bytes. We also have bytestring, which doesn't know if it's text or images or any other kind of data.
The two types are superficially similar, since they are both sequences of things, but the things that they are sequences of is quite different.
Implementationally, str is stored in memory as UCS-? where the ? is implementation defined, it may be UCS-4, UCS-2 or UCS-1, depending on compile time options and which code points are present in the represented string.
"But why"?
Some things that look like text are actually defined in other terms. A really good example of this are the many Internet protocols of the world. For instance, HTTP is a "text" protocol that is in fact defined using the ABNF syntax common in RFCs. These protocols are expressed in terms of octets, not characters, although an informal encoding may also be suggested:
2.3. Terminal Values
Rules resolve into a string of terminal values, sometimes called
characters. In ABNF, a character is merely a non-negative integer.
In certain contexts, a specific mapping (encoding) of values into a
character set (such as ASCII) will be specified.
This distinction is important, because it's not possible to send text over the internet, the only thing you can do is send bytes. saying "text but in 'foo' encoding" makes the format that much more complex, since clients and servers need to now somehow figure out the encoding business on their own, hopefully in the same way, since they must ultimately pass data around as bytes anyway. This is doubly useless since these protocols are seldom about text handling anyway, and is only a convenience for implementers. Neither the server owners nor end users are ever interested in reading the words Transfer-Encoding: chunked, so long as both the server and the browser understand it correctly.
By comparison, when working with text, you don't really care how it's encoded. You can express the "Heävy Mëtal Ümlaüts" any way you like, except "Heδvy Mλtal άmlaόts"
The distinct types thus give you a way to say "this value 'means' text" or "bytes".

Python does not know how to represent a bytestring. That's the point.
When you output a character with value 97 into pretty much any output window, you'll get the character 'a' but that's not part of the implementation; it's just a thing that happens to be locally true. If you want an encoding, you don't use bytestring. If you use bytestring, you don't have an encoding.
Your piece about .txt files shows you have misunderstood what is happening. You see, plain text files too don't have an encoding. They're just a series of bytes. These bytes get translated into letters by the text editor but there is no guarantee at all that someone else opening your file will see the same thing as you if you stray outside the common set of ASCII characters.

As the name implies, a Python 3 bytestring (or simply a str in Python 2.7) is a string of bytes. And, as others have pointed out, it is immutable.
It is distinct from a Python 3 str (or, more descriptively, a unicode in Python 2.7) which is a
string of abstract Unicode characters (a.k.a. UTF-32, though Python 3 adds fancy compression under the hood to reduce the actual memory footprint similar to UTF-8, perhaps even in a more general way).
There are essentially three ways of "interpreting" these bytes. You can look at the numeric value of an element, like this:
>>> ord(b'Hello'[0]) # Python 2.7 str
72
>>> b'Hello'[0] # Python 3 bytestring
72
Or you can tell Python to emit one or more elements to the terminal (or a file, device, socket, etc.) as 8-bit characters, like this:
>>> print b'Hello'[0] # Python 2.7 str
H
>>> import sys
>>> sys.stdout.buffer.write(b'Hello'[0:1]) and None; print() # Python 3 bytestring
H
As Jack hinted at, in this latter case it is your terminal interpreting the character, not Python.
Finally, as you have seen in your own research, you can also get Python to interpret a bytestring. For example, you can construct an abstract unicode object like this in Python 2.7:
>>> u1234 = unicode(b'\xe1\x88\xb4', 'utf-8')
>>> print u1234.encode('utf-8') # if terminal supports UTF-8
ሴ
>>> u1234
u'\u1234'
>>> print ('%04x' % ord(u1234))
1234
>>> type(u1234)
<type 'unicode'>
>>> len(u1234)
1
>>>
Or like this in Python 3:
>>> u1234 = str(b'\xe1\x88\xb4', 'utf-8')
>>> print (u1234) # if terminal supports UTF-8 AND python auto-infers
ሴ
>>> u1234.encode('unicode-escape')
b'\\u1234'
>>> print ('%04x' % ord(u1234))
1234
>>> type(u1234)
<class 'str'>
>>> len(u1234)
1
(and I am sure that the amount of syntax churn between Python 2.7 and Python3 around bystestring, strings, and Unicode had something to do with the continued popularity of Python 2.7. I suppose that when Python 3 was invented they didn't yet realize that everything would become UTF-8 and therefore all the fuss about abstraction was unnecessary).
But the Unicode abstraction does not happen automatically if you don't want it to. The point of a bytestring is that you can directly get at the bytes. Even if your string happens to be a UTF-8 sequence, you can still access bytes in the sequence:
>>> len(b'\xe1\x88\xb4')
3
>>> b'\xe1\x88\xb4'[0]
'\xe1'
And this works in both Python 2.7 and Python 3, with the difference being that in Python 2.7 you have str, while in Python3 you have bytestring.
You can also do other wonderful things with bytestrings, like knowing if they will fit in a reserved space within a file, sending them directly over a socket, calculating the HTTP content-length field correctly, and avoiding Python Bug 8260. In short, use bytestrings when your data is processed and stored in bytes.

Bytes objects are immutable sequences of single bytes. The documentation has a very good explanation of what they are and how to use them.

Convert unicode special symbol in python

I read the symbol °C using xlrd library. I get the unicode value as u'\xb0C'. However I want to use it as a normal string.
I went through a couple of posts including the below link
Convert a Unicode string to a string in Python (containing extra symbols)
It seems to be working for many special signals. but in this case I am seeing only C that is without ° (degree). any help would be much appreciated

Maybe I don't understand something, but:
>>> print u'\xb0C'.encode("UTF-8")
°C

If by "normal string" you mean ASCII encoded string, then you can't do exactly what you want. The degree symbol is not part of the ASCII character set, so the best you can hope to do is either drop it or convert it to a best approximation character from the ASCII character set. You could choose a different encoding, however you have to be sure that whatever systems you are interacting with will work with the encoding you choose. UTF-8 is usually a safe bet, and can encode pretty much any character you'll ever likely run in to.